ESS 99


October 26-28, 1999
Castle, Friedrich-Alexander University,
Erlangen-Nuremberg, Germany

Analytical and Numerical Modelling Techniques

Track Chair: Gunter Bolch
University of Erlangen-Nuremberg
Department for Operating Systems
Martensstrasse 1
91058 Erlangen, Germany
Tel.: +49.9131.85.27903
Fax: +49.9131.39388
Co-Track Chair:Khalid Begain
Department of Computer Science
Mu'tah University
Mu'tah 61710, Jordan

IPC Members

Marco Ajmone Marsan, Politecnico di Torino, Italy
Vladimir V. Anisimov, Bilkent University, Turkey
Andria Bobbio, Universita di Torino, Italy
Gianfranco Ciardo, College of William and Mary , USA
Mario Dal Cin, University Erlangen, Germany
Winfried Dulz, University Erlangen, Germany
Yahia Halabi, University of Jordan, Jordan
Guenter Haring, University of Vienna, Austria
Ulrich Klehmet, University Erlangen, Germany
Axel Lehmann, Universitaet der Bundeswehr Muenchen, Germany
Ralf Lehnert, Dresden University of Technology, Germany
Bruno Mueller-Clostermann, Universitaet GH Essen, Germany
Fabio Neri, Politecnico di Torino, Italy
Antonio Puliafito, Universita di Catania, Italy
Hermineh Sanossian, Mu'tah University, Jordan
Bruno Sericola, IRISA-INRIA, France
Frederick T. Sheldon, University of Colorado, USA
Christoph Strelen, Universitaet Bonn, Germany
Janos Sztrik, University of Debrecen, Hungary
Baris Tan, Koc University, Turkey
Miklos Telek, Technical University of Budapest, Hungary
Kishor Trivedi, Duke University, USA


The submission of papers is solicited for the "7th Analytical and Numerical Modelling Techniques Conference" which is organized by SCS (The Society for Computer Simulation International) as part of the ESS'99 (European Simulation Symposium 1999) in Erlangen-Nuremberg.

While for a long time simulation has been the predominant method of choice for many complex evaluation studies, analytical and numerical methods have recently become increasingly popular. With the advent of storage capacity and computing power even the numerical analysis of large models has become feasible and cost-effective.

Over the recent years technical progress has propelled many methodological breakthroughs due to growing acceptance and research. In many fields of application involving performance and reliability modelling of discrete flow systems, such as computer systems, high speed communication networks, flexible manufacturing systems and workflow management systems, it has been widely recognized that analytical and numerical methods can successfully complement simulation methods, while both techniques have merits of their own. However, there are still many important and interesting problems to be resolved such as those involving stochastic Petri nets and queueing network models with finite capacity and multiple job classes under various blocking mechanisms and synchrinisation constraints, bounds and theoretical properties, exact analysis, approximation methods and numerical solutions.

Contributions based on exact and approximate methods as well as applications are encouraged but not restricted to the following topics:

Techniques and Algorithms

Evaluation Studies of Analytical and Numerical Modelling


Back to index page

mail-anim.gif (7057 bytes)

Last modified 10-02-99 by Rainer Rimane
For further information please contact: